AI Application Engineer

Aug 20, 2026

WD

Career area:

Information Technology

Country/Region:

United States of America

State:

North Carolina

City:

Date:

Tuesday, May 26, 2026

Working time:

Full-time

* United States of America
- North Carolina
- Morrisville

We are Lenovo. We do what we say. We own what we do. We WOW our customers.

Lenovo is a US $83 billion revenue global technology powerhouse, ranked #153 in the Fortune Global 500, and serving millions of customers every day in 180 markets. Focused on a bold vision to deliver Smarter Technology for All, Lenovo has built on its success as the world's largest PC company with a full-stack portfolio of AI-enabled, AI-ready, and AI-optimized devices (PCs, workstations, smartphones, tablets), infrastructure (server, storage, edge, high performance computing and software defined infrastructure), software, solutions, and services.

Lenovo's continued investment in world-changing innovation is building a more equitable, trustworthy, and smarter future for everyone, everywhere. Lenovo is listed on the Hong Kong stock exchange under Lenovo Group Limited (HKSE: 992) (ADR: LNVGY).

This transformation together with Lenovo's world-changing innovation is building a more inclusive, trustworthy, and smarter future for everyone, everywhere. To find out more visit , and read about the latest news via our Story Hub.

The AI Application Engineer is a highly versatile, customer-facing technical champion responsible for the end-to-end commercialization and deployment of Lenovo's Customer Service AI Solution (CSAS) offering. Bridging the gap between software engineering, pre-sales consulting, and product design, this role acts as the primary technical partner for clients.

You will lead technical pre-sales discussions, build functional AI proofs-of-concept (POCs), deploy core solution integrations, conduct internal sales enablement training, and translate real-world client requirements into reusable product models and roadmap priorities for our core R&D teams.

1. Pre-Sales, Discovery & POC Prototyping (25% Weight)

• Technical Pre-Sales:
  Partner with business development and sales teams to pitch Lenovo's AI offerings, demonstrating technical feasibility and handling deep architectural discovery with client IT teams.
• Rapid POC Development:
  Design and build functional, high-impact AI Proof-of-Concepts (POCs) demonstrating RAG (Retrieval-Augmented Generation) capabilities, model accuracy, and system integration.

2. Full-Stack Implementation & Customer Deployment (45% Weight)

• Custom Integration Development:
  Write production-grade, fault-tolerant Python/Type Script connectors, data transformers, and workflow scripts to link Lenovo's AI platform with legacy customer CRM, IVR, and database systems (e.g., Salesforce, Service Now, on-prem databases) with a "Zero Rip-and-Replace" philosophy.
• On-Site Ingestion & Operations:
  Lead the deployment of containerized (Docker, Kubernetes) AI solutions within client-managed private or hybrid cloud environments.
• Field-Driven Product Design:
  Act as a technical Product Manager in the field, clarifying ambiguous customer requirements, creating structured solution designs, and defining repeatable product models.
• R&D Feedback Loop:
  Package local client-side customizations and feature requests into reusable, productized templates and advocate for their inclusion in core platform R&D roadmaps.

4. Sales Enablement & Value Engineering (15% Weight)

• Internal Sales Enablement:
  Develop and deliver technical training to internal sales, delivery, and marketing teams to build organization-wide capability in pitching and positioning our AI offerings.
• Value Instrumentation:
  Design and implement…